Assessment of provincial waterlogging risk based on entropy weight TOPSIS–PCA method

• Published in: Natural hazards (Dordrecht) Vol. 108; no. 2; pp. 1545 - 1567
• Main Authors: Liu, Zaohong, Jiang, Zhangzejun, Xu, Chen, Cai, Guanjun, Zhan, Jian
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.09.2021; Springer Nature B.V
• Subjects: Civil Engineering; Disaster management; Disasters; Earth and Environmental Science; Earth Sciences; Economics; Emergency preparedness; Entropy; Environmental Management; Evaluation; Floods; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Hydrogeology; Investment; Natural Hazards; Original Paper; Principal components analysis; Risk levels; Technological change; Technology assessment; Waterlogging; Weight; Waterlogging risk assessment; Coupled entropy weight TOPSIS–PCA model; Evaluation indicators; Entropy weight TOPSIS method; Principal component analysis

Over the past few years, urban waterlogging disasters have caused serious losses to the national economy of China; therefore, creating technology for assessing waterlogging risk levels has become an important goal. Based on 25 post-screened evaluation indexes regarding the construction of waterloggi...